Data Scientist

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Job Summary

Creating data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify trends in large data sets.

Analysis may be applied to various areas of the business (e.g., Market Economics, Supply Chain, Marketing/Advertising, Scientific Research, etc.).

Researching and applying knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions.

Applying and/or implementing Machine Learning (ML) or other Artificial Intelligence (AI) techniques to solve business problems and/or derive actionable business insights.

At higher career levels, may conduct scientific research projects with the goal of breaking new ground in data analytics.

Leadership Competencies

Collaborating

Continuous Improvement

Business Awareness

Planning and Organizing

Quality Orientation

Analysis

Applied Learning

Building Customer Loyalty

Technical Competencies

Business Analysis and Decision Support

Consulting, Transformation and Enablement

Database Administration and Performance

Machine Learning Engineering and MLOps

Cloud Platforms and Infrastructure-as-Code

Business Intelligence and Data Products

Performance Monitoring and Site Reliability

Data Governance, Quality and Stewardship

Advanced Analytics and Data Science

Research, Innovation and Emerging Tech

Testing, QA and Data Validation

Security, Privacy and Compliance (Data)

Data Engineering and Integration Pipelines

Seniority level

Entry level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

Telecommunications

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